Relevant bibliographies by topics / Multi-loop PID controller

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multi-loop PID controller'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Multi-loop PID controller"

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Chekari, Tassadit, Rachid Mansouri, and Maamar Bettayeb. "Real-time application of IMC-PID-FO multi-loop controllers on the coupled tanks process." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 235, no. 8 (2021): 1542–52. http://dx.doi.org/10.1177/0959651820983062.

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The coupled tanks process is a two input-two output system. It presents a nonlinear behavior and interactions characteristic. After the nonlinear model is obtained, it is linearized around an operating point. A fractional-order proportional–integral–derivative based on the internal model control paradigm (1DOF-IMC-PID-FO) multi-loop controller is determined without considering the interactions, and a fractional-order proportional–integral–derivative based on the 2-degree-of-freedom internal model control structure (2DOF-IMC-PID-FO) multi-loop controller is determined by considering the interac
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Puchalski, Bartosz, Kazimierz Duzinkiewicz, and Tomasz Rutkowski. "Multi-region fuzzy logic controller with local PID controllers for U-tube steam generator in nuclear power plant." Archives of Control Sciences 25, no. 4 (2015): 429–44. http://dx.doi.org/10.1515/acsc-2015-0028.

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Abstract In the paper, analysis of multi-region fuzzy logic controller with local PID controllers for steam generator of pressurized water reactor (PWR) working in wide range of thermal power changes is presented. The U-tube steam generator has a nonlinear dynamics depending on thermal power transferred from coolant of the primary loop of the PWR plant. Control of water level in the steam generator conducted by a traditional PID controller which is designed for nominal power level of the nuclear reactor operates insufficiently well in wide range of operational conditions, especially at the low
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PEREIRA, R. P. A., G. M. DE ALMEIDA, M. S. L. CUADROS, S. MUNARETO, and J. L. FÉLIX SALLES. "IMPLEMENTATION OF PREDICTIVE MULTIVARIABLE DMC CONTROLLER IN A PILOT PLANT." Latin American Applied Research - An international journal 44, no. 3 (2014): 217–24. http://dx.doi.org/10.52292/j.laar.2014.444.

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This study aims to implement the predictive multivariable DMC controller in a real plant and compare it to multi-loop PID. The practical application is made in a pilot plant located in the IFES / Serra, where pressure and level are controlled with pump speed and valve opening. Tuning of the DMC controller is obtained through a simulator based on genetic algorithm. The plant responses to step using multi-loop PID and DMC are compared with and without constraints on valve opening and pump speed. The DMC controller is also tested with output restriction (pressure and level). The didactic interfac
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Sudha, T. "Multi-Objective Optimization Based Multi-Objective Controller Tuning Method with Robust Stabilization of Fractional Calculus CSTR." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 16 (July 8, 2021): 375–82. http://dx.doi.org/10.37394/23203.2021.16.32.

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In Continuous Stirred Tank Reactor (CSTR) have Fractional order PID with the nominal order PID controller has been used to Multi-Criteria Decision Making (MCDM) and EMO (Evolutionary Multi-objective Optimization) by adjustment of control parameters like Hybrid methods in Multi objective optimization. But, this Fractional order PID with the nominal PID controller has maximum performance estimation. Proposed research work focused the Flower Pollination Algorithm based on Multi objective optimization with Genetic evaluation and Fractional order PID with the nominal PID controller is provides CSTR
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Alharbi, Wael, and Barry Gomm. "Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 5, no. 1 (2017): 77. http://dx.doi.org/10.3991/ijes.v5i1.6692.

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<p>This project is about the design of PID controllers and the improvement of outputs in multivariable processes. The optimisation of PID controller for the Shell oil process is presented in this paper, using Genetic Algorithms (GAs). Genetic Algorithms (GAs) are used to automatically tune PID controllers according to given specifications. They use an objective function, which is specially formulated and measures the performance of controller in terms of time-domain bounds on the responses of closed-loop process.</p><p>A specific objective function is suggested that allows th
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Shashidhar, Vasampalli, and Dola Gobinda Padhan. "A rubust fractional order PID controller for MIMO power systems." E3S Web of Conferences 87 (2019): 01024. http://dx.doi.org/10.1051/e3sconf/20198701024.

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This paper proposes a novel fractional order PID control scheme for Multi Input and Multi Output (MIMO) power systems. This control scheme utilizes Cuckoo Search algorithm to tune the fractional PID controller to guarantee better closed loop performance in the transmission or distribution networks. Cuckoo Search optimization algorithm is proposed to optimize gain values of the fractional PID controller. The effectiveness of the proposed control strategy has been assessed by simulations in MATLAB/Simulink platform. The robustness of the proposed controller has been validated by varying the plan
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Azizah, Zahrotul. "DINAMIKA DAN PENGENDALIAN SISTEM QUADRUPLE TANK MENGGUNAKAN CONTROLLER PI-PID DENGAN METODE DETUNING." Journal of Research and Technology 6, no. 1 (2020): 56–69. http://dx.doi.org/10.55732/jrt.v6i1.141.

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In general, industrial processes have characteristics as multivariable processes where the variables interact with one another which causes poor performance. Quadruple tank is a Multi Input Multi Output (MIMO) system that can be used to analyze dynamics and process control schemes with strong interactions. The design is simple but can represent complex systems in the industry so that a reliable controller can be tested using this system. Tuning controller parameters using Ziegler-Nichols only work well for single loops, therefore detuning controllers are needed using the BLT and Mc Avoy method
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Huang, Hsiao-Ping, Jyh-Cheng Jeng, Chih-Hung Chiang, and Wen Pan. "A direct method for multi-loop PI/PID controller design." Journal of Process Control 13, no. 8 (2003): 769–86. http://dx.doi.org/10.1016/s0959-1524(03)00009-x.

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CHEKARI, Tassadit, Rachid MANSOURI, and Maamar BETTAYEB. "IMC-PID-FOF Multi-loop controller design for Binary Distillation Column." Algerian Journal of Signals and Systems 7, no. 1 (2022): 13–20. http://dx.doi.org/10.51485/ajss.v7i1.155.

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This paper deals with the fractional order multi-loop controller design for a distillation column. The idea is a generalization of the IMC-PID-FOF controller design method developed for monovariable systems to the distillation column model which is multivariable. The principle is based on the IMC paradigm and the choice of appropriate control configuration with minimum of interactions. The proposed method is illustrated with an example of a distillation column model taken from the literature.
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Boubakir, Ahsene, Salim Labiod, Fares Boudjema, and Franck Plestan. "Design and experimentation of a self-tuning PID control applied to the 3DOF helicopter." Archives of Control Sciences 23, no. 3 (2013): 311–31. http://dx.doi.org/10.2478/acsc-2013-0019.

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Abstract The paper presents design and experimental validation of a stable self-tuning PID controller for three degrees of freedom (3-DOF) helicopter. At first, it is proposed a self-tuned proportional-integral-derivative (PID) controller for a class of uncertain second order multiinput multi-output nonlinear dynamic systems to which the 3-DOF helicopter dynamic model belongs. Within this scheme, the PID controller is employed to approximate unknown ideal controller that can achieve control objectives. PID controller gains are the adjustable parameters and they are updated online with a stable
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Dissertations / Theses on the topic "Multi-loop PID controller"

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Tseng, Wan-Ling, and 曾莞玲. "PID Controller Design Directly from Plant Data for Single-Loop and Multi-Loop Systems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/7bs5ww.

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碩士<br>國立臺北科技大學<br>化學工程研究所<br>100<br>PID controllers are the most widely used controllers in the chemical process industries, and various model-based PID design methods can be found in the literature. A major drawback of the model-based PID design is that the effectiveness of these methods would degrade for higher-order process dynamics owing to the inevitable modeling error. Consequently, it is an attractive alternative to design PID controller directly based on a set of process input and output data without resorting to a process model. This study proposes the PID controller design directly b
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Pan, Wen, and 潘文. "Autotuning of PID Controllers for Multi-loop Systems." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/68103834335152957404.

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碩士<br>國立臺灣大學<br>化學工程學研究所<br>90<br>In a multi-loop control system, interactions usually exist among the control loops.Because of these interactions, design of controllers to achieve satisfactory loop performance encounters much more difficulties than that for a SISO loop. In this article, we continue Chiang's research [5]; he defined the Effective open-loop processes(EOPs) from dynamic analysis of processes, then he found FOPDT or SOPDT model to approximate EOPs, and designed controllers. But, to find such approximate models are tedious for multi-loop controller design. In addition, Chiang's re
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Book chapters on the topic "Multi-loop PID controller"

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Banu, U. Sabura. "Chapter 13 Closed Loop Simulation Of Quadruple Tank Process Using Adaptive Multi-Loop Fractional Order Pid Controller Optimized Using Bat Algorithm." In Evolutionary Computation. Apple Academic Press, 2016. http://dx.doi.org/10.1201/9781315366388-14.

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Valluru, Sudarshan K., Madhusudan Singh, Daksh Dobhal, Kumar Kartikeya, Manpreet Kaur, and Arnav Goel. "Experimental Validation of Fully Informed Particle Swarm Optimization Tuned Multi-Loop L-PID Controllers for Stabilization of Gantry Crane System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8618-3_61.

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Valluru, Sudarshan K., Madhusudan Singh, Ayush, and Abhiraj Dharavath. "Design and Experimental Implementation of Multi-loop LQR, PID, and LQG Controllers for the Trajectory Tracking Control of Twin Rotor MIMO System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8618-3_62.

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Wang, Yage, Moyao Gao, Chaoda Chen, Zhiwei Huang, and Jiahui Chen. "Attitude Control System of Quadcopter Based on Four-Element Method-Double Layer PID Algorithm." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220500.

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In order to enhance the control stability and anti-interference ability of quadcopter, this paper presents a quadcopter based on double-layer PID control, and designs a quadcopter with STM32 as the main controller, and simulates and verifies its control system attitude. Firstly, the nonlinear attitude mathematical model of the aircraft is established by the four-element method, and the relationship between the attitude angle and the angular velocity of the aircraft is obtained by solving, so that the measurement data of multi-attitude sensors of the four-axis aircraft can be better fused. Then, according to the deviation between the target attitude and the current attitude of the aircraft, a double-layer PID control method is proposed based on the traditional PID controller. The outer loop controls the angle of the aircraft and the inner loop controls its angular velocity to improve the adaptability and accuracy of the aircraft. At last, the attitude of quadcopter with two controllers is simulated and compared by Matlab simulation software. The simulation results show that the quadcopter with PID control has a slow response time, and the attitude stabilization time is 2.7s, while the quadcopter with double PID control has a fast response time, and the attitude stabilization time is 0.4 s, which has good control stability and strong anti-interference ability, and improves the adaptive ability and robustness of aircraft control.
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Conference papers on the topic "Multi-loop PID controller"

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Maniramkrishna, A., and Soumya Ranjan Mahapatro. "A Simple Analytical Approach based Model Based Multi-loop PID Controller Design for Typical TITO Distillation Process." In 2025 International Conference on Sustainable Energy Technologies and Computational Intelligence (SETCOM). IEEE, 2025. https://doi.org/10.1109/setcom64758.2025.10932590.

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Li, Xian Hong, Hai Bin Yu, Ming Zhe Yuan, Chuan Zhi Zang, and Zhuo Wang. "Optimal MIMO PID Controllers for the MIMO Processes." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-5916.

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This paper focuses on the design method of the optimal multiple inputs and multiple outputs (MIMO) proportional integral derivative (PID) controllers for the MIMO processes via using Lyapunov theorems. A hybrid augmented integral squared error (HAISE) is applied to design the optimal multi-loop PID controller for the MIMO plants. The optimal multi-loop PID control problem is transformed into a nonlinear constraint optimization (NLCO) problem. The optimal PID controller parameters are obtained from solving the NLCO problem. The design method is applied to devise the multi-loop optimal PID contr
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Hoang, Samantha, and I. Y. Shen. "Cost of Controls for Multi-Rotor Drones." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67816.

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Abstract This paper focuses on the energy costs of using a control system to follow a specific trajectory as opposed to directly choosing the inputs in an open-loop sense to achieve a specific trajectory. Results show that the PID controller will use 7–13% more energy than the open-loop system for the small-amplitude trajectories and 62–74% more energy for the high-amplitude trajectories while maintaining trajectory errors of approximately 5% and 19%, respectively. The PD controller will use 0.03–0.04% less energy than the open loop system for the small-amplitude trajectories and 0.35% less en
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Ramirez, Juan A., Luis B. Gutierrez, and Rafael E. Vasquez. "An Iterative Feedback Tuning Scheme for the Multiloop PID Control of a UAV." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38384.

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An alternative for the steady-level flight control on an Unmanned Aerial Vehicle (UAV) is the use of decentralized multi-loop PID controllers for each controlled variable. PIDs are linear structured low order controllers which are not so easy to tune in the presence of complex dynamics such as multivariable, non-minimum phase, oscillatory and high-order plants; and the use of conventional design techniques based on linearized models usually does not end in satisfactory results. In this work a design scheme based on iterative feedback tuning (IFT) for the multivariable nonlinear model of the Co
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Paul, Parikshit Kr, Chanchal Dey, and Rajani K. Mudi. "Design of multi-loop IMC-PID controller for TITO process with dead time." In 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC). IEEE, 2016. http://dx.doi.org/10.1109/ciec.2016.7513796.

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Sardahi, Yousef, and Almuatazbellah Boker. "Multi-Objective Optimal Design of Four-Parameter PID Controls." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-8935.

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This paper presents a multi-objective optimal PID (Proportional-Integral-Derivative) controller with the derivative filter factor as the fourth design parameter. The complete design of the PID controller should involve tuning four parameters instead of three. However, most of the research papers consider only three parameters. The fourth parameter, the filter factor, is assigned to a default value or selected experimentally. In all cases, the choice of this factor filter will alter the closed-loop response’s characteristics that were assumed before inserting the filter in the control loop. The
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Nemirsky, Kristofer Kevin, and Kamran Turkoglu. "Simulated Annealing-Based Optimal PID Controller Design: A Case Study on Nonlinear Quadcopter Dynamics." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5121.

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In this thesis, the history and evolution of rotor aircraft with simulated annealing-based PID application were reviewed and quadcopter dynamics are presented. The dynamics of a quadcopter were then modeled, analyzed, and linearized. A cascaded loop architecture with PID controllers was used to stabilize the plant dynamics, which was improved upon through the application of simulated annealing (SA). A Simulink model was developed to test the controllers and verify the functionality of the proposed control system design. In addition, the data that the Simulink model provided were compared with
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Wu, Zhizheng, Azhar Iqbal, and Foued Ben Amara. "LMI-Based Decentralized PID Controller Design With Application to the Shape Control of Magnetic Fluid Deformable Mirrors." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40215.

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In this paper, a decentralized robust PID controller design method is proposed for multi-input multi-output systems. The system model is first decoupled in the low frequency range, and only the diagonal entries in the DC-decoupled plant model are retained. To deal with the resulting unmodeled high frequency dynamics, a decentralized robust PID controller design method is proposed, where the robust stability and transient response performance of the resulting closed loop system are formulated as a multi-objective H∞/H2 static output feedback problem. The desired parameters of the PID controller
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Sabura Banu, U., and S. K. Lakshmanaprabu. "Adaptive multi-loop fractional order PID controller tuning using Bat colony optimization for Quadruple Tank process." In 2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE). IEEE, 2015. http://dx.doi.org/10.1109/race.2015.7097280.

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Bhat, Vinayambika S., I. Thirunavukkarasu, and R. Janani. "Design and implementation of MSC based multi-loop PID controller for pilot plant binary distillation column." In 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT). IEEE, 2017. http://dx.doi.org/10.1109/iccpct.2017.8074352.

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